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Google Analytics For Content Marketing
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Transcript of Google Analytics For Content Marketing
![Page 1: Google Analytics For Content Marketing](https://reader031.fdocuments.in/reader031/viewer/2022030313/58ce73e91a28abdc578b60ed/html5/thumbnails/1.jpg)
@KaneJamison
Google Analytics For Content Marketers
#EngagePDX
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@KaneJamison
Imagine for a moment…
#EngagePDX
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You’ve taken over a new GA account.
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Google Analytics For Content Marketers
Stakeholder Steve
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“We have a GA account.
I don’t log in much.
I’m pretty sure we’re not getting as much value out of it
as we could be.”
Google Analytics For Content Marketers
Stakeholder Steve
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Google Analytics For Content Marketers
✓Tags Installed OK?
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Google Analytics For Content Marketers
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Filtered vs. Raw Views?
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Google Analytics For Content Marketers
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Goals or E-Commerce Tracking?
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Google Analytics For Content Marketers
Vitaly-Proofed?
=(¯\_( )_/¯
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Google Analytics For Content Marketers
So you go through your GA 101 checklist…
…now what?
ü Raw vs. Filtered Viewsü Client & Vendor IP Filtersü eCommerce Trackingü Contact / Quote Request Goal Completionsü Spam Filters – Hostname, Language, etc.ü Connect Adwords & Search Consoleü Tag Manager Conversion Process
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Google Analytics For Content Marketers
If you want to be able to answer the hard questions:
…then we’ve got more work to do.
Which content types add value to our
company?
Did those 8 whitepapers last year actually help us?
What is our content program/agency
doing for us?
Which of our 30 authors is the most
valuable?
What is the deal with airline food?
Does it make sense to keep investing in these
product videos?
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Google Analytics For Content Marketers
There’s 2 groups of tasks we need to tackle:
1) Build Out Our DataThere are non-retroactive data fields
you need to set up *now*.
2) Standardize These Insights:You’ll rely on Dashboards & Custom Reports
so you don’t have to track down data every day.
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Part One:Building Out Our Data
@KaneJamison
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How do we track all of the value we create as marketers?
Part One: Building Out Our Data
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We all track the end goal for our site visitors:
Part One: Building Out Our Data
CONVERSIONS!
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But if we want to measure the success of our entire marketing program, we need to measure more steps in the customer journey.
Part One: Building Out Our Data
CONVERSIONS!
EMAIL SUBSCRIPTION!
BUYER’S GUIDE DOWNLOAD!
PRODUCTCOMPARISONS!
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We do this by identifying the metrics we can track at various stages of the customer journey other than conversion.
Part One: Building Out Our Data
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Align Your Goals Across The Funnel To What You Can Track:
AWARENESS
Part One: Building Out Our Data
q Traffic by Channel/Mediumq Traffic by Content Grouping
ENGAGEMENT
CONVERSION
RETENTION
q Traffic by Author, Topic, Word Count, Date Published
q Content Downloadsq Watched Videosq Newsletter Signups
q Email Marketing Trafficq Retargeted Traffic
q Leads & Contact Formsq eCommerce Transactionq Average Order Value
q App Downloadsq Software Trialsq Conversions by Content Type
q Repeat Revenueq Content Consumption By
Logged In Users
q Product Reviews
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“I get that not every blog post is going to generate a sale.
But, can we get them to do anything with more value
than just pageviews?”
Part One: Building Out Our Data
Stakeholder Steve
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Yes we can, Steve!
Part One: Building Out Our Data
via Destination Page:
via Event Tracking:
via Pageviews per Session:
via Destination Page:
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“Can we value those goals?
Or is there just a monthly number of completions?”
Part One: Building Out Our Data
Stakeholder Steve
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We can – and should – value them:
Part One: Building Out Our Data
Who here would happily pay $1,000for 1,000 engaged email subscribers who actually chose to be on your list?
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Part One: Building Out Our Data
$2.00
$5.00
$0.10
$0.00
$0.00
$0.00
$0.00
$10.00
We can – and should – value them:
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Part One: Building Out Our Data
So that we can identify which types of content and traffic are the most valuable to us.
Why put a value on everything?
https://content.wistia.com/customer-stories/mybinding
MyBinding + Wistia“When a person watches a video on our site:
• Their average order value is almost 30% higher• E-commerce conversion rate is more than 10% higher• Their per session value is 42% higher than site
average…
Our video program had almost a 2 million dollar impact on our gross revenue.”
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“I’m fine with us tracking that stuff even though it’s not hard revenue, but can
we separate it from the actual leads and sales?”
Part One: Building Out Our Data
Stakeholder Steve
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Yes we can, Steve!
Part One: Building Out Our Data
Create two Filtered views:
• Your Primary View includes all marketing goals
• Your Sales-Only view only includes conversions.
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“OK, so we’re tracking a bunch of values on
the site now.
How do we actually use that data?”
Part One: Building Out Our Data
Stakeholder Steve
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Good question, Steve!
Part One: Building Out Our Data
The obvious first choice is page value:
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Part One: Building Out Our Data
But Page Value isn’t the clearest metric in GA
A) Is Page Value divided among all pages that a user views before buying something?
B) If we multiply Page Value by the number of pageviews, and add that up for every page on the site, will that equal the total sales?
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How does Page Value work?
Part One: Building Out Our Data
A B A C $100
A E F $100Visitor 2
Visitor 1
What is the Page Value of Page C?
$25? $33? $100?
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How does Page Value work?
Part One: Building Out Our Data
A B A C $100
A E FVisitor 2
Visitor 1
The Value of Page C is $100.
Total value of users that visited that page, divided by unique pageviews.
$100
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How does Page Value work?
Part One: Building Out Our Data
A B A C $100
A E FVisitor 2
Visitor 1
So what is the value of Page A?
$200? $100? $75?
$100
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How does Page Value work?
Part One: Building Out Our Data
A B A C $100
A E FVisitor 2
Visitor 1
The value of Page A is $100.
$200 value completed, divided by 2 unique pageviews.
$100
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So how do we actually use Page Value?
Part One: Building Out Our Data
“People who visited the Case Studies page of the site were twice as valuable as visitors to the Services page.”
“Last week’s blog post generates twice as much value per session as the other posts we published last month.”
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“That seems fine, but not really that valuable or even
actionable.
Can we compare all of the blog pages together, or all
of our product pages together?”
Part One: Building Out Our Data
Stakeholder Steve
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Yes! Through The Magic of Content Groupings
Part One: Building Out Our Data
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Instead of analyzing pages one by one…
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We can analyze them by site section, making a number of otherwise “noisy” metrics suddenly valuable.
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Content Groupings Are Easier With Good Site Structure
Part One: Building Out Our Data
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Content Groupings can also be pushed from On-Page Code or Tag Manager
Part One: Building Out Our Data
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More Great Resources On
How To Use Content Groupings:
Part One: Building Out Our Data
• Business Use Cases: http://cutroni.com/blog/2014/01/24/use-google-analytics-content-groups/
• Content Groupings By Funnel Stage: http://ipullrank.com/how-to-measure-the-user-journey-with-content-groupings-wordpress-gtm/
• Content Groupings vs. Custom Dimensions: http://www.lunametrics.com/blog/2016/01/21/content-groupings-vs-custom-dimensions/
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“OK now that’s helpful for analyzing our investment in
blog content last year.
Are there any other ways to slice up the site that we’re
missing out on?”
Part One: Building Out Our Data
Stakeholder Steve
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As Always Steve, The Answer is Yes!
Part One: Building Out Our Data
Custom Dimensions
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Custom Dimensions Open Up Tons of Opportunities
Part One: Building Out Our Data
https://thenextweb.com/insider/2016/12/01/marketing-the-tnw-way-17-50-custom-dimensions-in-google-analytics/
1. Time – Session Level2. Tags – Hit Level3. Post Type – Hit Level4. Author – Hit Level5. Post Date – Hit Level6. Adblocked – Session Level 7. A/B Testing – Session Level8. Comments – Hit Level9. Category – Hit Level10. Personalization – Session Level11. GTM Container Version ID – Session Level12. Signed up for newsletter – User Level13. First visit – User Level
13. Last visit – User Level14. URL string – Hit Level15. Query string – Hit Level16. Full referral path (Hit) – Hit Level17. Shares – Facebook – Hit Level18. Shares – Twitter – Hit Level19. Shares – LinkedIn – Hit Level20. Shares – Reddit – Hit Level21. Count Images – Hit Level22. Count Videos – Hit Level23. Published Date – Week – Hit Level24. Word Count Buckets – Hit Level
‘50+ Custom Dimensions in Google Analytics”Follow the Author: @MartijnSch
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Custom Dimensions Open Up Tons of Opportunities
Part One: Building Out Our Data
https://moz.com/blog/content-analysis-google-analytics (Shows how to track Word Count as Content Group, not Custom Dimension)
“Advanced Content Analysis in Google Analytics”Follow the Author: @JeffSauer
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Custom Dimensions Open Up Tons of Opportunities
Part One: Building Out Our Data
“Advanced Content Analysis in Google Analytics”Follow the Author: @JeffSauer
https://moz.com/blog/content-analysis-google-analytics (Shows how to track Word Count as Content Group, not Custom Dimension)
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Easier Custom Dimensions:
Part One: Building Out Our Data
DuracellTomi’s Google Tag Manager For Wordpress
https://wordpress.org/plugins/duracelltomi-google-tag-manager/
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Custom Dimensions vs Custom Metrics:
Part One: Building Out Our Data
A dimension is a characteristicof an object that can be givendifferent values.
Dimensions describe data.
Definitions via Paul Koks at http://online-metrics.com/metrics-and-dimensions/
A metric is an element of adimension which can bemeasured as a sum or ratio.
Metrics measure data.
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Custom Dimensions vs Custom Metrics:
Part One: Building Out Our Data
Screenshot from: http://www.analytics-ninja.com/blog/2015/12/google-analytics-custom-metrics-calculated-metrics.html
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“I get it, you can track a bunch of stuff.
Now how do we actually use all of this?
Part One: Building Out Our Data
Stakeholder Steve
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@KaneJamison
Part Two:Dashboards & Reports
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Part Two: Dashboards & Reports
Dashboards:Top Performers At A Glance
Reports:Get Into The Details
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Part Two: Dashboards & Reports
Dashboard – Subscribers by Source:
We want to understand where our email acquisition is working:
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Part Two: Dashboards & Reports
Dashboard – Top Landing Pages by Medium:
Which pages perform best by Medium – organic, email, social, referral, etc.
Can be prioritized by traffic or goal completions depending on which column is first.
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Part Two: Dashboards & Reports
Report – Performance by Word Count:
Which content lengths drive the most traffic and have strongest page value?
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Part Two: Dashboards & Reports
Report – Major Content Asset Performance:
Track performance on major content projects within a Content Group,for example just your whitepapers, or case studies.
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Part Two: Dashboards & Reports
Shortcut – Top Conversion Paths by Landing Page URL:
Not perfect but shows goal conversions and cumulative value based upon landing page, and split by medium if you’re interested:
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Part Two: Dashboards & Reports
Shortcut – Attribution by Landing Page URL:
Not perfect but shows goal conversions and cumulative value based upon landing page, and split by medium if you’re interested:
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Part Two: Dashboards & Reports
Remember, Google Analytics Can’t Think For You.
If your boss asks, “what is our ROI on the whitepapers we’re publishing,” the exact number may not exist in GA.
Aggregate with outside data to get a cumulative value.
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@KaneJamison
DO THIS NOW:
• Set up more Goals!• Set up Content Groupings!• Set up Custom Dimensions!
Let’s Recap!DO THIS AFTER:
• Set up your Monthly Dashboards• Set up your non-GA tracking
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About The Presenter:Kane Jamison is the founder of Content Harmony, a content marketing agency based in Seattle, WA.
Content Harmony helps our clients plan, produce, promote, and measure great content for their target audience.
More importantly, we help our clients drive marketing results across the entire customer lifecycle, from awareness to conversion to retention.
Find more free content marketing resources at ContentHarmony.com
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Google Analytics For Content Marketers
Contact Kane:
@KaneJamison
Image Credits: Space photos available via Unsplash.com